SlideShare a Scribd company logo
Objectives
distinguishes
between parameter
and statistic.
(M11/12SP-IIId-3)
At the end of the lesson, you
should be able to:
a. distinguishes between parameter and
statistic.
b. create your own definition of parameter
and statistics;
c. perform and cooperate with group mates
in doing activities related to parameter and
statistic;
d. relate importance of parameters and
statistics in our lives.
Presentation of the Lesson
Learning Stations
You will be grouped into three and
prepare 1 whole paper. Each group will be
assigned to every station. When I say “go”
and you will proceed to the next station.
Then, you will take note of the concepts
learned in each station; tasks are given as
well . At the end of the activity, you will
create a comparison table (write it in
manila paper) and present it to the class.
(20 minutes)
Learning Stations
Station 1: Picture Analysis
Station 2:Task Cards
Station 3: Interaction:
AVideo Presentation
Presentation per group
5 minutes
Discussion
Parameter and Statistic
Population-The totality of subjects
(people, animals or objects) under
consideration.
Sample-The portion chosen from a
population.
Parameter- the measurement or
quantity that describes the population.
Statistic (Sample Statistic)- the
measurement or quantity that describe a
sample
BASIS FOR
COMPARISON
STATISTIC PARAMETER
Meaning Statistic is a
measure which
describes a
fraction of
population.
Parameter
refers to a
measure which
describes
population.
Numerical
value
Variable and
Known
Fixed and
Unknown
ComparisonTable
Practice exercise
1. In order to test the effect of the
new drug to humans, 20 patients
were given the dose. After a
minute, it was found out that the
body temperature in average,
decreased by 2 oC. Answer the ff:
a. Are the 20 patients mentioned
above population or sample?
b. Is the 2 oC decrease in the body
temperature considered parameter
or statistic?
Answer/Solution:
a. The 20 patients taken are
considered sample.
b. Since the measurement 2 oC
refers to the average decrease of
the 20 patients (sample), it is
therefore considered statistic.
2. A researcher wants to know
the average weight of females
aged 22 years or older in Iloilo
City.The researcher obtains the
average weight of 54 kg, from a
random sample of 40 females.
Describe the given quantity as
parameter or statistic.
Answer/Solution:
In the given situation, the
statistics are the average weight
of 54 kg, calculated from a simple
random sample of 40 females in
Iloilo City while the parameter is
the mean weight of all females
aged 22 years or older.
Real-life Examples/ situations
A statistic is a measure based on a
sample.
A parameter is a measure of an
entire population.
Example of parameter:The average
amount of left handed people in
Bo. Obrero, Lapuz.
Example of Statistic:The average
amount of left handed people in Bo
Obrero National High School.
Let’s generalize…
1. How will you compare or
distinguish parameter from
statistic?
2. Cite real life situations or
examples related to parameter
and statistic..
Direction: Find a pair and create a concept
map on how mastered the lesson.
Rubrics:
20 points- correct concept and answer with examples
15 points- partially correct concept and answer with
examples
10 points – partially correct concept,answer and
examples
5 points- incorrect answer
Assignment
Create a powerpoint presentation/video
presentation on parameter and statistic
and send it thru messenger (FB).
Rubrics:
50 points- correct concept and answer with examples
30 points- partially correct concept and answer with
examples
25 points – partially correct concept,answer and examples
20 ponits- incorrect answer
parameter and statistic - Copy.pptx

More Related Content

What's hot

SAMPLING and SAMPLING DISTRIBUTION
SAMPLING and SAMPLING DISTRIBUTIONSAMPLING and SAMPLING DISTRIBUTION
SAMPLING and SAMPLING DISTRIBUTION
Ria Micor
 
Random sampling
Random samplingRandom sampling
Random sampling
JesusDel2
 
DECILE : MEASURES OF POSITION FOR GROUPED DATA
DECILE : MEASURES OF POSITION FOR GROUPED DATADECILE : MEASURES OF POSITION FOR GROUPED DATA
DECILE : MEASURES OF POSITION FOR GROUPED DATA
Chuckry Maunes
 
Chi square test
Chi square testChi square test
Statistics and probability lesson5
Statistics and probability lesson5Statistics and probability lesson5
Statistics and probability lesson5
MARIA CHRISTITA POLINAG
 
Chapter 1 random variables and probability distributions
Chapter 1   random variables and probability distributionsChapter 1   random variables and probability distributions
Chapter 1 random variables and probability distributions
Antonio F. Balatar Jr.
 
Sampling Distributions
Sampling DistributionsSampling Distributions
Sampling Distributions
DataminingTools Inc
 
Sampling Distribution
Sampling DistributionSampling Distribution
Sampling Distribution
Cumberland County Schools
 
Statistics and probability lesson6&7
Statistics and probability lesson6&7Statistics and probability lesson6&7
Statistics and probability lesson6&7
MARIA CHRISTITA POLINAG
 
Parameter
ParameterParameter
Parameter
olynbanzali
 
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA
Chuckry Maunes
 
Piecewise functions
Piecewise functionsPiecewise functions
Piecewise functions
Lori Rapp
 
DECILE FOR UNGROUPED DATA-MOV 4 COPY.pptx
DECILE FOR UNGROUPED DATA-MOV 4 COPY.pptxDECILE FOR UNGROUPED DATA-MOV 4 COPY.pptx
DECILE FOR UNGROUPED DATA-MOV 4 COPY.pptx
LanieBayani1
 
Variance and standard deviation
Variance and standard deviationVariance and standard deviation
Variance and standard deviationAmrit Swaroop
 
Probability - Independent & Dependent Events
Probability - Independent & Dependent EventsProbability - Independent & Dependent Events
Probability - Independent & Dependent EventsBitsy Griffin
 
Frequency distribution
Frequency distributionFrequency distribution
Frequency distribution
metnashikiom2011-13
 
Advanced statistics Lesson 1
Advanced statistics Lesson 1Advanced statistics Lesson 1
Advanced statistics Lesson 1
Cliffed Echavez
 
Chapter 3 sampling and sampling distribution
Chapter 3   sampling and sampling distributionChapter 3   sampling and sampling distribution
Chapter 3 sampling and sampling distribution
Antonio F. Balatar Jr.
 
MEASURES OF POSITION
MEASURES OF POSITIONMEASURES OF POSITION
MEASURES OF POSITION
Hazel Charise Gonzales
 
Statistics and probability lesson 4
Statistics and probability lesson 4Statistics and probability lesson 4
Statistics and probability lesson 4
MARIA CHRISTITA POLINAG
 

What's hot (20)

SAMPLING and SAMPLING DISTRIBUTION
SAMPLING and SAMPLING DISTRIBUTIONSAMPLING and SAMPLING DISTRIBUTION
SAMPLING and SAMPLING DISTRIBUTION
 
Random sampling
Random samplingRandom sampling
Random sampling
 
DECILE : MEASURES OF POSITION FOR GROUPED DATA
DECILE : MEASURES OF POSITION FOR GROUPED DATADECILE : MEASURES OF POSITION FOR GROUPED DATA
DECILE : MEASURES OF POSITION FOR GROUPED DATA
 
Chi square test
Chi square testChi square test
Chi square test
 
Statistics and probability lesson5
Statistics and probability lesson5Statistics and probability lesson5
Statistics and probability lesson5
 
Chapter 1 random variables and probability distributions
Chapter 1   random variables and probability distributionsChapter 1   random variables and probability distributions
Chapter 1 random variables and probability distributions
 
Sampling Distributions
Sampling DistributionsSampling Distributions
Sampling Distributions
 
Sampling Distribution
Sampling DistributionSampling Distribution
Sampling Distribution
 
Statistics and probability lesson6&7
Statistics and probability lesson6&7Statistics and probability lesson6&7
Statistics and probability lesson6&7
 
Parameter
ParameterParameter
Parameter
 
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA
PERCENTILE : MEASURES OF POSITION FOR GROUPED DATA
 
Piecewise functions
Piecewise functionsPiecewise functions
Piecewise functions
 
DECILE FOR UNGROUPED DATA-MOV 4 COPY.pptx
DECILE FOR UNGROUPED DATA-MOV 4 COPY.pptxDECILE FOR UNGROUPED DATA-MOV 4 COPY.pptx
DECILE FOR UNGROUPED DATA-MOV 4 COPY.pptx
 
Variance and standard deviation
Variance and standard deviationVariance and standard deviation
Variance and standard deviation
 
Probability - Independent & Dependent Events
Probability - Independent & Dependent EventsProbability - Independent & Dependent Events
Probability - Independent & Dependent Events
 
Frequency distribution
Frequency distributionFrequency distribution
Frequency distribution
 
Advanced statistics Lesson 1
Advanced statistics Lesson 1Advanced statistics Lesson 1
Advanced statistics Lesson 1
 
Chapter 3 sampling and sampling distribution
Chapter 3   sampling and sampling distributionChapter 3   sampling and sampling distribution
Chapter 3 sampling and sampling distribution
 
MEASURES OF POSITION
MEASURES OF POSITIONMEASURES OF POSITION
MEASURES OF POSITION
 
Statistics and probability lesson 4
Statistics and probability lesson 4Statistics and probability lesson 4
Statistics and probability lesson 4
 

Similar to parameter and statistic - Copy.pptx

Introduction-to-Statistics.pptx
Introduction-to-Statistics.pptxIntroduction-to-Statistics.pptx
Introduction-to-Statistics.pptx
AlaaKhazaleh3
 
teaching statistics
teaching statisticsteaching statistics
teaching statisticsCarlo Magno
 
Practice Test 1 solutions
Practice Test 1 solutions  Practice Test 1 solutions
Practice Test 1 solutions
Long Beach City College
 
Statistics Vocabulary Chapter 1
Statistics Vocabulary Chapter 1Statistics Vocabulary Chapter 1
Statistics Vocabulary Chapter 1Debra Wallace
 
chap1.ppt
chap1.pptchap1.ppt
chap1.ppt
chezannedolor2
 
CH1.pdf
CH1.pdfCH1.pdf
Ch1
Ch1Ch1
Lesson 1 05 measuring central tendency
Lesson 1 05 measuring central tendencyLesson 1 05 measuring central tendency
Lesson 1 05 measuring central tendency
Perla Pelicano Corpez
 
Year 9 Stats
Year 9 StatsYear 9 Stats
Year 9 Stats
WaihiCollege
 
Lab 1 intro
Lab 1 introLab 1 intro
Lab 1 intro
Erik D. Davenport
 
Week11-EvaluationMethods.ppt
Week11-EvaluationMethods.pptWeek11-EvaluationMethods.ppt
Week11-EvaluationMethods.ppt
KamranAli649587
 
Day 1 - Introduction-To-Statistics.pptx
Day 1 - Introduction-To-Statistics.pptxDay 1 - Introduction-To-Statistics.pptx
Day 1 - Introduction-To-Statistics.pptx
MJGamboa2
 
Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012Kumar Tarun
 
Sampling
 Sampling Sampling
statistics - Populations and Samples.pdf
statistics - Populations and Samples.pdfstatistics - Populations and Samples.pdf
statistics - Populations and Samples.pdf
kobra22
 
Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012
Kumar Tarun
 
Statistics for Managers notes.pdf
Statistics for Managers notes.pdfStatistics for Managers notes.pdf
Statistics for Managers notes.pdf
Velujv
 
Statistics
StatisticsStatistics
Statistics
Arpit Sharma
 
Probability and statistics (basic statistical concepts)
Probability and statistics (basic statistical concepts)Probability and statistics (basic statistical concepts)
Probability and statistics (basic statistical concepts)Don Bosco BSIT
 

Similar to parameter and statistic - Copy.pptx (20)

Introduction-to-Statistics.pptx
Introduction-to-Statistics.pptxIntroduction-to-Statistics.pptx
Introduction-to-Statistics.pptx
 
teaching statistics
teaching statisticsteaching statistics
teaching statistics
 
Ps1.1
Ps1.1Ps1.1
Ps1.1
 
Practice Test 1 solutions
Practice Test 1 solutions  Practice Test 1 solutions
Practice Test 1 solutions
 
Statistics Vocabulary Chapter 1
Statistics Vocabulary Chapter 1Statistics Vocabulary Chapter 1
Statistics Vocabulary Chapter 1
 
chap1.ppt
chap1.pptchap1.ppt
chap1.ppt
 
CH1.pdf
CH1.pdfCH1.pdf
CH1.pdf
 
Ch1
Ch1Ch1
Ch1
 
Lesson 1 05 measuring central tendency
Lesson 1 05 measuring central tendencyLesson 1 05 measuring central tendency
Lesson 1 05 measuring central tendency
 
Year 9 Stats
Year 9 StatsYear 9 Stats
Year 9 Stats
 
Lab 1 intro
Lab 1 introLab 1 intro
Lab 1 intro
 
Week11-EvaluationMethods.ppt
Week11-EvaluationMethods.pptWeek11-EvaluationMethods.ppt
Week11-EvaluationMethods.ppt
 
Day 1 - Introduction-To-Statistics.pptx
Day 1 - Introduction-To-Statistics.pptxDay 1 - Introduction-To-Statistics.pptx
Day 1 - Introduction-To-Statistics.pptx
 
Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012
 
Sampling
 Sampling Sampling
Sampling
 
statistics - Populations and Samples.pdf
statistics - Populations and Samples.pdfstatistics - Populations and Samples.pdf
statistics - Populations and Samples.pdf
 
Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012Sampling s3 12-01-17-2012
Sampling s3 12-01-17-2012
 
Statistics for Managers notes.pdf
Statistics for Managers notes.pdfStatistics for Managers notes.pdf
Statistics for Managers notes.pdf
 
Statistics
StatisticsStatistics
Statistics
 
Probability and statistics (basic statistical concepts)
Probability and statistics (basic statistical concepts)Probability and statistics (basic statistical concepts)
Probability and statistics (basic statistical concepts)
 

Recently uploaded

Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
Peter Windle
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
Delapenabediema
 
Digital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion DesignsDigital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion Designs
chanes7
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
Jisc
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
vaibhavrinwa19
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
tarandeep35
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
siemaillard
 
Honest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptxHonest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptx
timhan337
 
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
Levi Shapiro
 
Group Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana BuscigliopptxGroup Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana Buscigliopptx
ArianaBusciglio
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
Mohd Adib Abd Muin, Senior Lecturer at Universiti Utara Malaysia
 
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
Nguyen Thanh Tu Collection
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
heathfieldcps1
 
Marketing internship report file for MBA
Marketing internship report file for MBAMarketing internship report file for MBA
Marketing internship report file for MBA
gb193092
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
Home assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdfHome assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdf
Tamralipta Mahavidyalaya
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
Peter Windle
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
Jean Carlos Nunes Paixão
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
Ashokrao Mane college of Pharmacy Peth-Vadgaon
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
Balvir Singh
 

Recently uploaded (20)

Embracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic ImperativeEmbracing GenAI - A Strategic Imperative
Embracing GenAI - A Strategic Imperative
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
 
Digital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion DesignsDigital Artifact 2 - Investigating Pavilion Designs
Digital Artifact 2 - Investigating Pavilion Designs
 
How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...How libraries can support authors with open access requirements for UKRI fund...
How libraries can support authors with open access requirements for UKRI fund...
 
Acetabularia Information For Class 9 .docx
Acetabularia Information For Class 9  .docxAcetabularia Information For Class 9  .docx
Acetabularia Information For Class 9 .docx
 
S1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptxS1-Introduction-Biopesticides in ICM.pptx
S1-Introduction-Biopesticides in ICM.pptx
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
 
Honest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptxHonest Reviews of Tim Han LMA Course Program.pptx
Honest Reviews of Tim Han LMA Course Program.pptx
 
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...
 
Group Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana BuscigliopptxGroup Presentation 2 Economics.Ariana Buscigliopptx
Group Presentation 2 Economics.Ariana Buscigliopptx
 
Chapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptxChapter 3 - Islamic Banking Products and Services.pptx
Chapter 3 - Islamic Banking Products and Services.pptx
 
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
 
The basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptxThe basics of sentences session 5pptx.pptx
The basics of sentences session 5pptx.pptx
 
Marketing internship report file for MBA
Marketing internship report file for MBAMarketing internship report file for MBA
Marketing internship report file for MBA
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
Home assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdfHome assignment II on Spectroscopy 2024 Answers.pdf
Home assignment II on Spectroscopy 2024 Answers.pdf
 
A Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in EducationA Strategic Approach: GenAI in Education
A Strategic Approach: GenAI in Education
 
Lapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdfLapbook sobre os Regimes Totalitários.pdf
Lapbook sobre os Regimes Totalitários.pdf
 
Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.Biological Screening of Herbal Drugs in detailed.
Biological Screening of Herbal Drugs in detailed.
 
Operation Blue Star - Saka Neela Tara
Operation Blue Star   -  Saka Neela TaraOperation Blue Star   -  Saka Neela Tara
Operation Blue Star - Saka Neela Tara
 

parameter and statistic - Copy.pptx

  • 1.
  • 3. At the end of the lesson, you should be able to: a. distinguishes between parameter and statistic. b. create your own definition of parameter and statistics; c. perform and cooperate with group mates in doing activities related to parameter and statistic; d. relate importance of parameters and statistics in our lives.
  • 5. Learning Stations You will be grouped into three and prepare 1 whole paper. Each group will be assigned to every station. When I say “go” and you will proceed to the next station. Then, you will take note of the concepts learned in each station; tasks are given as well . At the end of the activity, you will create a comparison table (write it in manila paper) and present it to the class. (20 minutes)
  • 6. Learning Stations Station 1: Picture Analysis Station 2:Task Cards Station 3: Interaction: AVideo Presentation
  • 9. Parameter and Statistic Population-The totality of subjects (people, animals or objects) under consideration. Sample-The portion chosen from a population. Parameter- the measurement or quantity that describes the population. Statistic (Sample Statistic)- the measurement or quantity that describe a sample
  • 10. BASIS FOR COMPARISON STATISTIC PARAMETER Meaning Statistic is a measure which describes a fraction of population. Parameter refers to a measure which describes population. Numerical value Variable and Known Fixed and Unknown ComparisonTable
  • 12. 1. In order to test the effect of the new drug to humans, 20 patients were given the dose. After a minute, it was found out that the body temperature in average, decreased by 2 oC. Answer the ff: a. Are the 20 patients mentioned above population or sample? b. Is the 2 oC decrease in the body temperature considered parameter or statistic?
  • 13. Answer/Solution: a. The 20 patients taken are considered sample. b. Since the measurement 2 oC refers to the average decrease of the 20 patients (sample), it is therefore considered statistic.
  • 14. 2. A researcher wants to know the average weight of females aged 22 years or older in Iloilo City.The researcher obtains the average weight of 54 kg, from a random sample of 40 females. Describe the given quantity as parameter or statistic.
  • 15. Answer/Solution: In the given situation, the statistics are the average weight of 54 kg, calculated from a simple random sample of 40 females in Iloilo City while the parameter is the mean weight of all females aged 22 years or older.
  • 17. A statistic is a measure based on a sample. A parameter is a measure of an entire population. Example of parameter:The average amount of left handed people in Bo. Obrero, Lapuz. Example of Statistic:The average amount of left handed people in Bo Obrero National High School.
  • 19. 1. How will you compare or distinguish parameter from statistic? 2. Cite real life situations or examples related to parameter and statistic..
  • 20. Direction: Find a pair and create a concept map on how mastered the lesson. Rubrics: 20 points- correct concept and answer with examples 15 points- partially correct concept and answer with examples 10 points – partially correct concept,answer and examples 5 points- incorrect answer
  • 22. Create a powerpoint presentation/video presentation on parameter and statistic and send it thru messenger (FB). Rubrics: 50 points- correct concept and answer with examples 30 points- partially correct concept and answer with examples 25 points – partially correct concept,answer and examples 20 ponits- incorrect answer